Compared with traditional WSNs, image and multimedia data in wireless image sensor networks require sophisticated processing transmission techniques to meet the limited energy budget. Further image data require time efficiency and minimal jitter for maintaining the quality of data. Wavelet coding is used to separate an image into image pixel-position and image-pixel-value information. This intraimage diversity is exploited to reduce the transmitted data by transmitting only the position information of the threshold. Simulation results demonstrate that there is no significant loss in visual quality of image, to the human eye, for the purpose of identifying an object. The resulting lower segment length ensures significantly higher bandwidth utilization, lower jitter and improved energy efficiency.